Detailed contribution information
| Contribution title | 2841 - Quality of life in untreated children and adolescents with ADHD: the influence of age and gender |
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| Contribution code | PS01-47 (P) |
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| Form of presentation | Poster |
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| Abstract |
ADHD is associated with significant impairment of the quality of life of untreated patients and their families. Objectives: The purpose of the present study was to evaluate the quality of life of untreated children diagnosed of ADHD (naïve) compared with healthy children. Methods: Observational, case-control, cross-evaluation study matched by age and sex. A total of 120 subjects were included, 60 naïve children diagnosed with ADHD and 60 healthy children aged 6-16 years. . The sample and the variables used in this study proceeds from a grant study (PI11/2009). K-SADS-PL interview was administered to assess the presence and presentation of ADHD. To assess the severity of ADHD symptoms ADHD RS IV parents’ version was administrated. The instrument CHIP-CE/PRF was used to measure quality of life. Linear regression analysis was conducted. Results: The sample showed a mean age of 9.32 years (SD 2.82), being 56.7% male. 55% of children with ADHD showed a combined presentation, 36.7% an inattentive, showing the rest hyperactive-impulsive presentation. Results suggest that children with ADHD have worse quality of life than healthy children, showing between 1 and 2 SD below the appropriate population norms in all domains and subdomains, except those that refer to physical level. Children with combined presentation showed a poorer quality of life respect the other presentations. Respect gender, differences were only observed in risk avoidance dimension suggesting lower levels in female respect male. Respect age it was noted in both groups that older children had less satisfaction and achievement but more risk avoidance. Conclusion: The health profile obtained suggests that children with ADHD naïve have a poorer quality of life compared with healthy children. Gender is not a variable with a great impact on the quality of life. The variable age has a greater impact although the results also suggest that adolescence has a role in the quality of life. |